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Engineering Preprint PDF DOI

Risk-Aware Multi-Market Scheduling of Virtual Power Plants with Dynamic Network Tariffs

Lorenzo Zapparoli, Paul Fath, Blazhe Gjorgiev, Giovanni Sansavini ยท 2026

As the penetration of distributed energy resources (DERs) increases, harnessing their flexibility becomes critical for power system operations. Virtual power plants (VPPs) offer a promising solution. โ€ฆ

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Engineering Preprint PDF DOI

A Novel Reinforcement Learning Based Framework for Scalable MIMO Interference Alignment

Samitha Gunarathne, Eslam Eldeeb, Nurul Huda Mahmood, Italo Atzeni ยท 2026

Interference alignment (IA) is a widely recognized approach for mitigating inter-cell interference in multi-user multiple-input multiple-output (MIMO) networks. Despite its effectiveness, practical deโ€ฆ

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Engineering Preprint PDF DOI

A Comparative study on THz Communication Systems: Photonics versus Electronics Approaches

Talha Rahman, Murat Uysal ยท 2026

Terahertz (THz) communication has emerged as a key enabler for sixth-generation (6G) networks, offering ultrawide bandwidths to support data-intensive applications such as holographic telepresence andโ€ฆ

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Engineering Preprint PDF DOI

A 21-24 GHz Low-Phase-Noise mmWave VCO with Third-Harmonic Expansion using a Triple-Coupled Transformer based Tank

Narahari N. Moudhgalya ยท 2026

This work presents the design and analysis of a sixth-order triple-coupled transformer-based tank, enabling third-harmonic expansion for mmWave VCOs. Unlike conventional fourth-order tanks, the proposโ€ฆ

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Engineering Preprint PDF DOI

Accelerating Sparse Linear Solvers with an Optical Laser Processing Unit

Dan Gluck, Yotam Mimran, Andrey Karenskih, Talya Vaknin, Omri Wolf, Ruti Ben-Shlomi, Johannes Gebert ยท 2026

Solving large, sparse linear systems is a fundamental workload in scientific computing and engineering simulations, often dominating runtime and energy consumption in high-performance computing (HPC) โ€ฆ

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Engineering Preprint PDF DOI

Split over $n$ resource sharing problem: Are fewer capable agents better than many simpler ones?

Karthik Soma, Mohamed S. Talamali, Genki Miyauchi, Giovanni Beltrame, Heiko Hamann, Roderich Gross ยท 2026

In multi-agent systems, should limited resources be concentrated into a few capable agents or distributed among many simpler ones? This work formulates the split over $n$ resource sharing problem wherโ€ฆ

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Engineering Preprint PDF DOI

The False Resonance: A Critical Examination of Emotion Embedding Similarity for Speech Generation Evaluation

Yun-Shao Tsai, Yi-Cheng Lin, Huang-Cheng Chou, Tzu-Wen Hsu, Yun-Man Hsu, Chun Wei Chen, Shrikanth Narayanan, Hung-yi Lee ยท 2026

Objective metrics for emotional expressiveness are vital for speech generation, particularly in expressive synthesis and voice conversion requiring emotional prosody transfer. To quantify this, the fiโ€ฆ

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Engineering Preprint PDF DOI

Real-Time Minimum-Energy Operating-Point Tracking for Battery-Powered Micro DC Motors Under Dynamically Variable Loading

Tzu-Hsiang Huang, Haojian Lu, Hen-Wei Huang, Tan Rong ยท 2026

Micro DC brushed motors are widely deployed in battery-powered biomedical systems, where limited energy budgets and variable physiological loading impose stringent efficiency and safety constraints. Hโ€ฆ

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Engineering Preprint PDF DOI

Optimizing Tracking Accuracy in Energy-Constrained Multimodal ISAC via Lyapunov-Driven Heterogeneous Mixture-of-Experts

Wenqi Fan, Ning Wei, Ahmad Bazzi, Rongyan Xi, Zhixian Song, You Li, Zhihan Zeng, Yue Xiu, Chadi Assi ยท 2026

The integration of multimodal sensing and millimeter-wave (mmWave) communications is a key enabler for highly mobile vehicle-to-infrastructure (V2I) networks. However, continuous high-resolution visuaโ€ฆ

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Engineering Preprint PDF DOI

Dual-LoRA: Parameter-Efficient Adversarial Disentanglement for Cross-Lingual Speaker Verification

Qituan Shangguan, Junhao Du, Kunyang Peng, Feng Xue, Hui Zhang, Xinsheng Wang, Kai Yu, Shuai Wang ยท 2026

Cross-lingual speaker verification suffers from severe language-speaker entanglement. This causes systematic degradation in the hardest scenario: correctly accepting utterances from the same speaker aโ€ฆ

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SPG-Codec: Exploring the Role and Boundaries of Semantic Priors in Ultra-Low-Bitrate Neural Speech Coding

Mingyu Zhao, Zijian Lin, Kun Wei, Zhiyong Wu ยท 2026

Conventional neural speech codecs suffer from severe intelligibility degradation at ultra-low bitrates, where the bottleneck transitions from acoustic distortion to semantic loss. To address this issuโ€ฆ

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Engineering Preprint PDF DOI

DiffAnon: Diffusion-based Prosody Control for Voice Anonymization

Ismail Rasim Ulgen, Zexin Cai, Nicholas Andrews, Philipp Koehn, Berrak Sisman ยท 2026

To preserve or not to preserve prosody is a central question in voice anonymization. Prosody conveys meaning and affect, yet is tightly coupled with speaker identity. Existing methods either discard pโ€ฆ

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Engineering Preprint PDF DOI

2D and 3D Grasp Planners for the GET Asymmetrical Gripper

Andrew Goldberg, Ethan Ransing, Anton Kourakin, Cael Magner, Edward H. Adelson, Ken Goldberg ยท 2026

In this paper, we introduce GET-2D-1.0, a fast grasp planner for the GET asymmetrical gripper that operates from a single-view RGB-D image, using the Ferrari-Canny metric and a novel sampling strategyโ€ฆ

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Lights Out: A Nighttime UAV Localization Framework Using Thermal Imagery and Semantic 3D Maps

Ryan Allen, Melissa Greeff ยท 2026

Reliable backup localization for unmanned aerial vehicles (UAVs) operating in GNSS-denied nighttime conditions remains an open challenge due to the severe modality gap between daytime RGB maps and nigโ€ฆ

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Blind OFDM-ISAC Relying on Asymmetric Modem Constellations

Henglin Pu, Ahmad Musallam, Husheng Li, Lajos Hanzo ยท 2026

Integrated sensing and communication (ISAC) is increasingly expected to operate under aggressive spectrum reuse, where co-channel orthogonal frequency division multiplexing (OFDM) interference can be โ€ฆ

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Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control

Ankur Kamboj, Biswadip Dey, Vaibhav Srivastava ยท 2026

We develop a physics-informed learning framework for energy-shaping control of port-Hamiltonian (pH) systems from trajectory data. The proposed approach {co-learns} a pH system model and an optimal enโ€ฆ

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One Voice, Many Tongues: Cross-Lingual Voice Cloning for Scientific Speech

Amanuel Gizachew Abebe, Yasmin Moslem ยท 2026

Preserving a speaker's voice identity while generating speech in a different language remains a fundamental challenge in spoken language technology, particularly in specialized domains such as scientiโ€ฆ

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Sparse Graph Learning from Sparse Data via Fiedler Number Maximization

Bahar Oveisgharan, Gene Cheung, Andrew Eckford ยท 2026

We aim to learn a sparse and connected graph from sparse data, where the number of observations K can be substantially smaller than the signal dimension N for signals x in R^N, and the underlying distโ€ฆ

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Application of Deep Reinforcement Learning to Event-Triggered Control for Networked Artificial Pancreas Systems

Junya Ikemoto, Satoshi Maruyama, Kazumune Hashimoto ยท 2026

This paper proposes a deep reinforcement learning (DRL)-based event-triggered controller design for networked artificial pancreas (AP) systems. Although existing DRL-based AP controllers typically assโ€ฆ

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Engineering Preprint PDF DOI

Robot Planning and Situation Handling with Active Perception

Austine Oloo, Zainab Altaweel, Yohei Hayamizu, Peiqi Liu, Yan Ding, Saeid Amiri, Hao Yang, Andy Kaminski, Chad Esselink, Chris Paxton, Xiaohan Zhang, Shiqi Zhang ยท 2026

Current robots are capable of computing plans to accomplish complex tasks. However, real-world environments are inherently open and dynamic, and unforeseen situations frequently arise during plan execโ€ฆ

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